Integrating Co-Clustering and Interpretable Machine Learning for the Prediction of Intravenous Immunoglobulin Resistance in Kawasaki Disease.
Haolin WangZhilin HuangDanfeng ZhangJohan AriefTiewei LyuJie TianPublished in: IEEE Access (2020)
Keyphrases
- machine learning
- prediction accuracy
- text mining
- outbreak detection
- machine learning approaches
- pattern recognition
- machine learning methods
- clustering algorithm
- prediction algorithm
- explanation based learning
- prediction error
- computer vision
- text classification
- feature selection
- collaborative filtering
- information extraction
- semi supervised
- learning tasks
- predictive modeling
- decision trees
- predictive model
- learning algorithm
- data analysis
- prediction model
- information theoretic
- learning systems
- machine learning algorithms
- computational intelligence
- support vector machine
- active learning
- inductive learning
- knowledge representation
- computational biology
- knowledge acquisition
- computer science
- knowledge discovery
- disease diagnosis
- data mining